Dynamic Processing Resource Allocation for Automated Vehicle Guidance

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Solution Overview

Problem

Current systems for monitoring and guiding motor vehicles in parking environments require high computing power and memory, leading to high costs, latency, and increased power consumption due to static network infrastructure and wire-based data transfer.

Innovation Solution

A method to dynamically determine and adapt processing resources based on parameter-influenced demand for data processing in motor vehicle guidance, using a cloud infrastructure to ensure efficient resource allocation and reduce unnecessary resource usage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If a static network infrastructure with wire-based data transfer is used, then system stability and reliability are improved, but latency increases and adaptability deteriorates

Engineering Contradiction:
Improvesystem reliabilityVSAvoidlatency
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements dynamic resource allocation where the computer system transitions from a static infrastructure to a dynamic cloud-based architecture. Processing resources are allocated dynamically based on real-time demand, allowing the system to adapt its computational capacity flexibly while maintaining reliable operation through virtualized resource management and orchestration layers.

Inventive Principle:
Principle #15Dynamics

2Productivity

If high computing performance and memory are provided, then processing capability is improved, but costs and device complexity increase

Engineering Contradiction:
Improveprocessing capabilityVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent employs a cloud computing infrastructure where a shared pool of computational resources serves multiple functions and multiple vehicle guidance tasks simultaneously. The same hardware resources can be dynamically allocated to different processing needs, eliminating the requirement for dedicated high-performance hardware at each location and reducing overall system complexity through resource consolidation.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent utilizes virtualization to create virtual copies of processing resources. Instead of physically duplicating expensive high-performance computing hardware, the system creates virtual instances that can be replicated and distributed across the network, providing the appearance of multiple high-performance systems while actually sharing underlying physical resources.

Inventive Principle:
Principle #26Copying

3Reliability

If wire-based data transfer is used, then data transmission reliability is improved, but power consumption increases and latency occurs

Engineering Contradiction:
Improvedata transmission reliabilityVSAvoidpower consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent replaces traditional wire-based mechanical data transfer infrastructure with wireless communication systems. This substitution eliminates the need for extensive physical cable infrastructure, reducing the energy required for data transmission while maintaining reliable communication through modern wireless protocols and error correction mechanisms.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20220147394A1Concept for data processing for an at least partially automated guidance of a motor vehicle
Publication Date: 2022.05.12 ROBERT BOSCH GMBH
  • US20220147394A1 patent drawing
  • US20220147394A1 patent drawing
  • US20220147394A1 patent drawing

AI summary

A method for determining a demand for processing resources for carrying out processing of data for at least partly automated guidance of a motor vehicle. Provision is made to adapt available processing resources for carrying out data processing to a determined demand for processing resources. An apparatus, a computer system, a computer program, and a machine-readable storage medium are also described.